Dolga, R;
Treleaven, P;
Denny, MT;
(2021)
Machine Understandable Contracts with Deep Learning.
In:
2020 International Conference on Computational Science and Computational Intelligence (CSCI).
(pp. pp. 551-557).
IEEE
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Treleaven_20201015 Computer-executable legal specifications.pdf - Accepted Version Download (1MB) | Preview |
Abstract
This research investigates the automatic translation of contracts to computer understandable rules trough Natural Language Processing. The most challenging aspect, which is studied throughout this paper, is to understand the meaning of the contract and express it into a structured format. This problem can be reduced to the Named Entity Recognition and Rule Extraction tasks, the latter handles the extraction of terms and conditions. These two problems are difficult, but deep learning models can tackle them. We think that this paper is the first work to approach Rule Extraction with deep learning. This method is data-hungry, so the research also introduces data sets for these two tasks. Additionally, it contributes to the literature by introducing Law-Bert, a model based on BERT which is pre-trained on unlabelled contracts. The results obtained on Named Entity Recognition and Rule Extraction show that pre-training on contracts has a positive effect on performance for the downstream tasks.
| Type: | Proceedings paper |
|---|---|
| Title: | Machine Understandable Contracts with Deep Learning |
| Event: | 2020 International Conference on Computational Science and Computational Intelligence (CSCI) |
| ISBN-13: | 9781728176246 |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1109/CSCI51800.2020.00099 |
| Publisher version: | https://doi.org/10.1109/CSCI51800.2020.00099 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher's terms and conditions. |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10139835 |
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